P. M. Andersen

1.2k total citations
9 papers, 804 citations indexed

About

P. M. Andersen is a scholar working on Neurology, Genetics and Molecular Biology. According to data from OpenAlex, P. M. Andersen has authored 9 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in P. M. Andersen's work include Amyotrophic Lateral Sclerosis Research (8 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Neurological diseases and metabolism (2 papers). P. M. Andersen is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (8 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Neurological diseases and metabolism (2 papers). P. M. Andersen collaborates with scholars based in Sweden, United Kingdom and Austria. P. M. Andersen's co-authors include Orla Hardiman, Hardev Pall, Elizabeth Fisher, Paul G. Ince, J. Robin Highley, John Collinge, Mary O. Smith, Pamela J. Shaw, Karen Morrison and Nick Parkinson and has published in prestigious journals such as Neurology, Human Molecular Genetics and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

P. M. Andersen

9 papers receiving 791 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. M. Andersen Sweden 7 649 318 227 221 206 9 804
Hazel Urwin United Kingdom 5 485 0.7× 206 0.6× 333 1.5× 202 0.9× 94 0.5× 5 712
Reika Wate Japan 13 531 0.8× 263 0.8× 319 1.4× 95 0.4× 109 0.5× 27 707
Annelies Van Hoecke Belgium 6 463 0.7× 207 0.7× 162 0.7× 201 0.9× 148 0.7× 6 613
Han-Jou Chen United Kingdom 8 528 0.8× 259 0.8× 422 1.9× 103 0.5× 94 0.5× 10 765
Mark A. Halloran Australia 6 464 0.7× 207 0.7× 250 1.1× 125 0.6× 69 0.3× 8 673
Loren L. Flynn Australia 9 488 0.8× 291 0.9× 332 1.5× 92 0.4× 110 0.5× 14 685
T. Sagie Israel 3 384 0.6× 259 0.8× 194 0.9× 65 0.3× 128 0.6× 3 539
Christopher P Webster United Kingdom 10 370 0.6× 162 0.5× 221 1.0× 108 0.5× 67 0.3× 12 579
Sandra Pereson Belgium 5 545 0.8× 267 0.8× 236 1.0× 171 0.8× 118 0.6× 6 662
Tijs Vandoorne Belgium 9 377 0.6× 220 0.7× 325 1.4× 134 0.6× 63 0.3× 12 648

Countries citing papers authored by P. M. Andersen

Since Specialization
Citations

This map shows the geographic impact of P. M. Andersen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by P. M. Andersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. M. Andersen more than expected).

Fields of papers citing papers by P. M. Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. M. Andersen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by P. M. Andersen. The network helps show where P. M. Andersen may publish in the future.

Co-authorship network of co-authors of P. M. Andersen

This figure shows the co-authorship network connecting the top 25 collaborators of P. M. Andersen. A scholar is included among the top collaborators of P. M. Andersen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. M. Andersen. P. M. Andersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Eschbach, J. W., Birgit Schwalenstöcker, Selma M. Soyal, et al.. (2013). PGC-1  is a male-specific disease modifier of human and experimental amyotrophic lateral sclerosis. Human Molecular Genetics. 22(17). 3477–3484. 69 indexed citations
2.
Es, Michael A. van, et al.. (2009). Large-scale SOD1 mutation screening provides evidence for genetic heterogeneity in amyotrophic lateral sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 81(5). 562–566. 58 indexed citations
3.
Saeed, Mohammad, Han‐Xiang Deng, N. Siddique, et al.. (2009). Age and founder effect of SOD1 A4V mutation causing ALS. Neurology. 72(19). 1634–1639. 74 indexed citations
4.
Domellöf, Fátima Pedrosa, et al.. (2008). The extraocular muscles in Amyotrophic Lateral Sclerosis (ALS)?. Acta Ophthalmologica. 86(s243). 0–0. 1 indexed citations
5.
Parkinson, Nick, Paul G. Ince, Mary O. Smith, et al.. (2006). ALS phenotypes with mutations in CHMP2B (charged multivesicular body protein 2B). Neurology. 67(6). 1074–1077. 309 indexed citations
6.
Morita, Mitsuya, Ammar Al‐Chalabi, P. M. Andersen, et al.. (2006). A locus on chromosome 9p confers susceptibility to ALS and frontotemporal dementia. Neurology. 66(6). 839–844. 244 indexed citations
7.
Meyer, Thomas, Jochen vom Brocke, Karl‐Titus Hoffmann, et al.. (2005). Early-onset ALS with long-term survival associated with spastin gene mutation. Neurology. 65(1). 141–143. 41 indexed citations
8.
Andersen, P. M., Gian Domenico Borasio, Reinhard Dengler, et al.. (2005). EFNS task force on management of amyotrophic lateral sclerosis: guidelines for diagnosing and clinical care of patients and relatives An evidence-based review with good practice points The EFNS Task Force on Diagnosis and Management of Amyotrophic Lateral Sclerosis:. 7 indexed citations
9.
Marklund, Stefan L., Peter Nilsson, Anna K. Jönsson, et al.. (1999). Motor neuron disease in transgenic mice and a patient carrying the G127insTGGG CuZn-superoxide dismutase mutation. The Society for Neuroscience Abstracts. 25. 1303. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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